Used Car Report

Dataset statistics

Number of variables	33
Number of observations	201
Missing cells	51
Missing cells (%)	0.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	51.9 KiB
Average record size in memory	264.6 B

Variable types

Numeric	21
Categorical	12

Alerts

`symboling` is highly correlated with `normalized-losses` and 3 other fields	High correlation
`normalized-losses` is highly correlated with `symboling`	High correlation
`wheel-base` is highly correlated with `symboling` and 12 other fields	High correlation
`length` is highly correlated with `wheel-base` and 14 other fields	High correlation
`width` is highly correlated with `wheel-base` and 12 other fields	High correlation
`height` is highly correlated with `symboling` and 4 other fields	High correlation
`curb-weight` is highly correlated with `wheel-base` and 12 other fields	High correlation
`engine-size` is highly correlated with `wheel-base` and 12 other fields	High correlation
`bore` is highly correlated with `wheel-base` and 12 other fields	High correlation
`compression-ratio` is highly correlated with `diesel` and 1 other fields	High correlation
`horsepower` is highly correlated with `length` and 11 other fields	High correlation
`city-mpg` is highly correlated with `length` and 11 other fields	High correlation
`highway-mpg` is highly correlated with `wheel-base` and 12 other fields	High correlation
`price` is highly correlated with `wheel-base` and 12 other fields	High correlation
`city-L/100km` is highly correlated with `length` and 11 other fields	High correlation
`highway-L/100km` is highly correlated with `wheel-base` and 12 other fields	High correlation
`diesel` is highly correlated with `compression-ratio` and 1 other fields	High correlation
`gas` is highly correlated with `compression-ratio` and 1 other fields	High correlation
`normalized_length` is highly correlated with `wheel-base` and 14 other fields	High correlation
`normalized_width` is highly correlated with `wheel-base` and 12 other fields	High correlation
`normalized_height` is highly correlated with `symboling` and 4 other fields	High correlation
`symboling` is highly correlated with `normalized-losses` and 3 other fields	High correlation
`normalized-losses` is highly correlated with `symboling`	High correlation
`wheel-base` is highly correlated with `symboling` and 11 other fields	High correlation
`length` is highly correlated with `wheel-base` and 12 other fields	High correlation
`width` is highly correlated with `wheel-base` and 12 other fields	High correlation
`height` is highly correlated with `symboling` and 2 other fields	High correlation
`curb-weight` is highly correlated with `wheel-base` and 12 other fields	High correlation
`engine-size` is highly correlated with `wheel-base` and 12 other fields	High correlation
`bore` is highly correlated with `length` and 11 other fields	High correlation
`compression-ratio` is highly correlated with `diesel` and 1 other fields	High correlation
`horsepower` is highly correlated with `length` and 11 other fields	High correlation
`city-mpg` is highly correlated with `length` and 11 other fields	High correlation
`highway-mpg` is highly correlated with `wheel-base` and 12 other fields	High correlation
`price` is highly correlated with `wheel-base` and 12 other fields	High correlation
`city-L/100km` is highly correlated with `length` and 11 other fields	High correlation
`highway-L/100km` is highly correlated with `wheel-base` and 12 other fields	High correlation
`diesel` is highly correlated with `compression-ratio` and 1 other fields	High correlation
`gas` is highly correlated with `compression-ratio` and 1 other fields	High correlation
`normalized_length` is highly correlated with `wheel-base` and 12 other fields	High correlation
`normalized_width` is highly correlated with `wheel-base` and 12 other fields	High correlation
`normalized_height` is highly correlated with `symboling` and 2 other fields	High correlation
`wheel-base` is highly correlated with `length` and 6 other fields	High correlation
`length` is highly correlated with `wheel-base` and 11 other fields	High correlation
`width` is highly correlated with `wheel-base` and 11 other fields	High correlation
`height` is highly correlated with `normalized_height`	High correlation
`curb-weight` is highly correlated with `wheel-base` and 12 other fields	High correlation
`engine-size` is highly correlated with `wheel-base` and 12 other fields	High correlation
`bore` is highly correlated with `length` and 3 other fields	High correlation
`horsepower` is highly correlated with `width` and 8 other fields	High correlation
`city-mpg` is highly correlated with `length` and 10 other fields	High correlation
`highway-mpg` is highly correlated with `length` and 10 other fields	High correlation
`price` is highly correlated with `wheel-base` and 11 other fields	High correlation
`city-L/100km` is highly correlated with `length` and 10 other fields	High correlation
`highway-L/100km` is highly correlated with `length` and 10 other fields	High correlation
`diesel` is highly correlated with `gas`	High correlation
`gas` is highly correlated with `diesel`	High correlation
`normalized_length` is highly correlated with `wheel-base` and 11 other fields	High correlation
`normalized_width` is highly correlated with `wheel-base` and 11 other fields	High correlation
`normalized_height` is highly correlated with `height`	High correlation
`diesel` is highly correlated with `fuel-system` and 1 other fields	High correlation
`fuel-system` is highly correlated with `diesel` and 3 other fields	High correlation
`gas` is highly correlated with `diesel` and 1 other fields	High correlation
`num-of-cylinders` is highly correlated with `make` and 2 other fields	High correlation
`make` is highly correlated with `fuel-system` and 5 other fields	High correlation
`engine-type` is highly correlated with `num-of-cylinders` and 1 other fields	High correlation
`engine-location` is highly correlated with `make`	High correlation
`body-style` is highly correlated with `num-of-doors`	High correlation
`num-of-doors` is highly correlated with `body-style`	High correlation
`drive-wheels` is highly correlated with `make`	High correlation
`price_binned` is highly correlated with `num-of-cylinders` and 1 other fields	High correlation
`aspiration` is highly correlated with `fuel-system`	High correlation
`symboling` is highly correlated with `normalized-losses` and 15 other fields	High correlation
`normalized-losses` is highly correlated with `symboling` and 14 other fields	High correlation
`make` is highly correlated with `symboling` and 28 other fields	High correlation
`aspiration` is highly correlated with `make` and 4 other fields	High correlation
`num-of-doors` is highly correlated with `symboling` and 4 other fields	High correlation
`body-style` is highly correlated with `make` and 8 other fields	High correlation
`drive-wheels` is highly correlated with `symboling` and 22 other fields	High correlation
`engine-location` is highly correlated with `make` and 7 other fields	High correlation
`wheel-base` is highly correlated with `symboling` and 27 other fields	High correlation
`length` is highly correlated with `symboling` and 25 other fields	High correlation
`width` is highly correlated with `symboling` and 23 other fields	High correlation
`height` is highly correlated with `symboling` and 24 other fields	High correlation
`curb-weight` is highly correlated with `symboling` and 24 other fields	High correlation
`engine-type` is highly correlated with `symboling` and 23 other fields	High correlation
`num-of-cylinders` is highly correlated with `normalized-losses` and 22 other fields	High correlation
`engine-size` is highly correlated with `make` and 24 other fields	High correlation
`fuel-system` is highly correlated with `make` and 22 other fields	High correlation
`bore` is highly correlated with `normalized-losses` and 23 other fields	High correlation
`stroke` is highly correlated with `make` and 23 other fields	High correlation
`compression-ratio` is highly correlated with `make` and 22 other fields	High correlation
`horsepower` is highly correlated with `symboling` and 25 other fields	High correlation
`peak-rpm` is highly correlated with `normalized-losses` and 19 other fields	High correlation
`city-mpg` is highly correlated with `normalized-losses` and 21 other fields	High correlation
`highway-mpg` is highly correlated with `make` and 22 other fields	High correlation
`price` is highly correlated with `make` and 22 other fields	High correlation
`city-L/100km` is highly correlated with `normalized-losses` and 25 other fields	High correlation
`highway-L/100km` is highly correlated with `symboling` and 23 other fields	High correlation
`price_binned` is highly correlated with `symboling` and 20 other fields	High correlation
`diesel` is highly correlated with `aspiration` and 4 other fields	High correlation
`gas` is highly correlated with `aspiration` and 4 other fields	High correlation
`normalized_length` is highly correlated with `symboling` and 25 other fields	High correlation
`normalized_width` is highly correlated with `symboling` and 23 other fields	High correlation
`normalized_height` is highly correlated with `symboling` and 24 other fields	High correlation
`normalized-losses` has 37 (18.4%) missing values	Missing
`bore` has 4 (2.0%) missing values	Missing
`stroke` has 4 (2.0%) missing values	Missing
`symboling` has 65 (32.3%) zeros	Zeros

Reproduction

Analysis started	2021-10-05 03:25:08.828469
Analysis finished	2021-10-05 03:25:40.204348
Duration	31.38 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

symboling
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8407960199

Minimum	-2
Maximum	3
Zeros	65
Zeros (%)	32.3%
Negative	25
Negative (%)	12.4%
Memory size	1.7 KiB

Quantile statistics

Minimum	-2
5-th percentile	-1
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	3
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.254801723
Coefficient of variation (CV)	1.492397315
Kurtosis	-0.7071776172
Mean	0.8407960199
Median Absolute Deviation (MAD)	1
Skewness	0.1973703603
Sum	169
Variance	1.574527363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	65	32.3%
1	52	25.9%
2	32	15.9%
3	27	13.4%
-1	22	10.9%
-2	3	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2	3	1.5%
-1	22	10.9%
0	65	32.3%
1	52	25.9%
2	32	15.9%
3	27	13.4%

Value	Count	Frequency (%)
3	27	13.4%
2	32	15.9%
1	52	25.9%
0	65	32.3%
-1	22	10.9%
-2	3	1.5%

normalized-losses
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	51
Distinct (%)	31.1%
Missing	37
Missing (%)	18.4%
Infinite	0
Infinite (%)	0.0%
Mean	122

Minimum	65
Maximum	256
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	65
5-th percentile	74
Q1	94
median	115
Q3	150
95-th percentile	188
Maximum	256
Range	191
Interquartile range (IQR)	56

Descriptive statistics

Standard deviation	35.44216753
Coefficient of variation (CV)	0.2905095699
Kurtosis	0.5254403856
Mean	122
Median Absolute Deviation (MAD)	24
Skewness	0.7659764176
Sum	20008
Variance	1256.147239
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
161	11	5.5%
91	8	4.0%
150	7	3.5%
134	6	3.0%
104	6	3.0%
128	6	3.0%
94	5	2.5%
65	5	2.5%
74	5	2.5%
102	5	2.5%
Other values (41)	100	49.8%
(Missing)	37	18.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
65	5	2.5%
74	5	2.5%
77	1	0.5%
78	1	0.5%
81	2	1.0%
83	3	1.5%
85	5	2.5%
87	2	1.0%
89	2	1.0%
90	1	0.5%

Value	Count	Frequency (%)
256	1	0.5%
231	1	0.5%
197	2	1.0%
194	2	1.0%
192	2	1.0%
188	2	1.0%
186	1	0.5%
168	5	2.5%
164	2	1.0%
161	11	5.5%

make
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	10.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

toyota	32
nissan	18
mazda	17
mitsubishi	13
honda	13
Other values (17)	108

Length

Max length	13
Median length	6
Mean length	6.502487562
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	alfa-romero
2nd row	alfa-romero
3rd row	alfa-romero
4th row	audi
5th row	audi

Common Values

Value	Count	Frequency (%)
toyota	32	15.9%
nissan	18	9.0%
mazda	17	8.5%
mitsubishi	13	6.5%
honda	13	6.5%
subaru	12	6.0%
volkswagen	12	6.0%
peugot	11	5.5%
volvo	11	5.5%
dodge	9	4.5%
Other values (12)	53	26.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
toyota	32	15.9%
nissan	18	9.0%
mazda	17	8.5%
mitsubishi	13	6.5%
honda	13	6.5%
subaru	12	6.0%
volkswagen	12	6.0%
peugot	11	5.5%
volvo	11	5.5%
dodge	9	4.5%
Other values (12)	53	26.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

aspiration
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

std	165
turbo	36

Length

Max length	5
Median length	3
Mean length	3.358208955
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	std
2nd row	std
3rd row	std
4th row	std
5th row	std

Common Values

Value	Count	Frequency (%)
std	165	82.1%
turbo	36	17.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
std	165	82.1%
turbo	36	17.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num-of-doors
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.0%
Missing	2
Missing (%)	1.0%
Memory size	1.7 KiB

four	113
two	86

Length

Max length	4
Median length	4
Mean length	3.567839196
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	two
2nd row	two
3rd row	two
4th row	four
5th row	four

Common Values

Value	Count	Frequency (%)
four	113	56.2%
two	86	42.8%
(Missing)	2	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
four	113	56.8%
two	86	43.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

body-style
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

sedan	94
hatchback	68
wagon	25
hardtop	8
convertible	6

Length

Max length	11
Median length	5
Mean length	6.611940299
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	convertible
2nd row	convertible
3rd row	hatchback
4th row	sedan
5th row	sedan

Common Values

Value	Count	Frequency (%)
sedan	94	46.8%
hatchback	68	33.8%
wagon	25	12.4%
hardtop	8	4.0%
convertible	6	3.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sedan	94	46.8%
hatchback	68	33.8%
wagon	25	12.4%
hardtop	8	4.0%
convertible	6	3.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

drive-wheels
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

fwd	118
rwd	75
4wd	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	rwd
2nd row	rwd
3rd row	rwd
4th row	fwd
5th row	4wd

Common Values

Value	Count	Frequency (%)
fwd	118	58.7%
rwd	75	37.3%
4wd	8	4.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
fwd	118	58.7%
rwd	75	37.3%
4wd	8	4.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

engine-location
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

front	198
rear	3

Length

Max length	5
Median length	5
Mean length	4.985074627
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	front
2nd row	front
3rd row	front
4th row	front
5th row	front

Common Values

Value	Count	Frequency (%)
front	198	98.5%
rear	3	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
front	198	98.5%
rear	3	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

wheel-base
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	52
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98.79701493

Minimum	86.6
Maximum	120.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	86.6
5-th percentile	93
Q1	94.5
median	97
Q3	102.4
95-th percentile	110
Maximum	120.9
Range	34.3
Interquartile range (IQR)	7.9

Descriptive statistics

Standard deviation	6.066365555
Coefficient of variation (CV)	0.06140231625
Kurtosis	0.9484450961
Mean	98.79701493
Median Absolute Deviation (MAD)	2.8
Skewness	1.031261443
Sum	19858.2
Variance	36.80079104
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
93.7	20	10.0%
94.5	19	9.5%
95.7	13	6.5%
96.5	8	4.0%
97.3	7	3.5%
100.4	6	3.0%
104.3	6	3.0%
96.3	6	3.0%
98.8	6	3.0%
98.4	6	3.0%
Other values (42)	104	51.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
86.6	2	1.0%
88.4	1	0.5%
88.6	2	1.0%
89.5	3	1.5%
91.3	2	1.0%
93	1	0.5%
93.1	5	2.5%
93.3	1	0.5%
93.7	20	10.0%
94.3	1	0.5%

Value	Count	Frequency (%)
120.9	1	0.5%
115.6	2	1.0%
114.2	4	2.0%
113	2	1.0%
112	1	0.5%
110	3	1.5%
109.1	5	2.5%
108	1	0.5%
107.9	6	3.0%
106.7	1	0.5%

length
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	73
Distinct (%)	36.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	174.200995

Minimum	141.1
Maximum	208.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	141.1
5-th percentile	157.3
Q1	166.8
median	173.2
Q3	183.5
95-th percentile	197
Maximum	208.1
Range	67
Interquartile range (IQR)	16.7

Descriptive statistics

Standard deviation	12.32217509
Coefficient of variation (CV)	0.07073538868
Kurtosis	-0.06519162777
Mean	174.200995
Median Absolute Deviation (MAD)	6.9
Skewness	0.1544463518
Sum	35014.4
Variance	151.835999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
157.3	15	7.5%
188.8	11	5.5%
186.7	7	3.5%
166.3	7	3.5%
171.7	7	3.5%
186.6	6	3.0%
165.3	6	3.0%
176.2	6	3.0%
177.8	6	3.0%
176.8	5	2.5%
Other values (63)	125	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
141.1	1	0.5%
144.6	2	1.0%
150	3	1.5%
155.9	1	0.5%
156.9	1	0.5%
157.1	1	0.5%
157.3	15	7.5%
157.9	1	0.5%
158.7	3	1.5%
158.8	1	0.5%

Value	Count	Frequency (%)
208.1	1	0.5%
202.6	2	1.0%
199.6	2	1.0%
199.2	1	0.5%
198.9	4	2.0%
197	1	0.5%
193.8	1	0.5%
192.7	3	1.5%
191.7	1	0.5%
190.9	2	1.0%

width
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	43
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.88905473

Minimum	60.3
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	60.3
5-th percentile	63.6
Q1	64.1
median	65.5
Q3	66.6
95-th percentile	70.3
Maximum	72
Range	11.7
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	2.101470819
Coefficient of variation (CV)	0.03189408055
Kurtosis	0.6786551692
Mean	65.88905473
Median Absolute Deviation (MAD)	1.4
Skewness	0.8750290419
Sum	13243.7
Variance	4.416179602
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
63.8	24	11.9%
66.5	23	11.4%
65.4	15	7.5%
68.4	10	5.0%
64.4	10	5.0%
63.6	9	4.5%
64	9	4.5%
65.5	8	4.0%
65.2	7	3.5%
64.2	6	3.0%
Other values (33)	80	39.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
60.3	1	0.5%
61.8	1	0.5%
62.5	1	0.5%
63.4	1	0.5%
63.6	9	4.5%
63.8	24	11.9%
63.9	3	1.5%
64	9	4.5%
64.1	2	1.0%
64.2	6	3.0%

Value	Count	Frequency (%)
72	1	0.5%
71.7	3	1.5%
71.4	3	1.5%
70.9	1	0.5%
70.6	1	0.5%
70.5	1	0.5%
70.3	3	1.5%
69.6	2	1.0%
68.9	4	2.0%
68.8	1	0.5%

height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	24.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.76666667

Minimum	47.8
Maximum	59.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	47.8
5-th percentile	49.7
Q1	52
median	54.1
Q3	55.5
95-th percentile	57.5
Maximum	59.8
Range	12
Interquartile range (IQR)	3.5

Descriptive statistics

Standard deviation	2.447822161
Coefficient of variation (CV)	0.04552676059
Kurtosis	-0.4329081504
Mean	53.76666667
Median Absolute Deviation (MAD)	1.6
Skewness	0.02917329915
Sum	10807.1
Variance	5.991833333
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
50.8	14	7.0%
55.7	12	6.0%
54.5	10	5.0%
54.1	10	5.0%
52	9	4.5%
55.5	9	4.5%
56.7	8	4.0%
54.3	8	4.0%
52.6	7	3.5%
56.1	7	3.5%
Other values (39)	107	53.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
47.8	1	0.5%
48.8	2	1.0%
49.4	2	1.0%
49.6	4	2.0%
49.7	3	1.5%
50.2	6	3.0%
50.5	1	0.5%
50.6	5	2.5%
50.8	14	7.0%
51	1	0.5%

Value	Count	Frequency (%)
59.8	2	1.0%
59.1	3	1.5%
58.7	4	2.0%
58.3	1	0.5%
57.5	3	1.5%
56.7	8	4.0%
56.5	2	1.0%
56.3	2	1.0%
56.2	3	1.5%
56.1	7	3.5%

curb-weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	169
Distinct (%)	84.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2555.666667

Minimum	1488
Maximum	4066
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	1488
5-th percentile	1905
Q1	2169
median	2414
Q3	2926
95-th percentile	3505
Maximum	4066
Range	2578
Interquartile range (IQR)	757

Descriptive statistics

Standard deviation	517.2967266
Coefficient of variation (CV)	0.2024116577
Kurtosis	0.03491557605
Mean	2555.666667
Median Absolute Deviation (MAD)	377
Skewness	0.7058035875
Sum	513689
Variance	267595.9033
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2385	4	2.0%
1989	3	1.5%
2275	3	1.5%
1918	3	1.5%
2756	2	1.0%
2414	2	1.0%
2403	2	1.0%
4066	2	1.0%
2145	2	1.0%
2337	2	1.0%
Other values (159)	176	87.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1488	1	0.5%
1713	1	0.5%
1819	1	0.5%
1837	1	0.5%
1874	1	0.5%
1876	2	1.0%
1889	1	0.5%
1890	1	0.5%
1900	1	0.5%
1905	1	0.5%

Value	Count	Frequency (%)
4066	2	1.0%
3950	1	0.5%
3900	1	0.5%
3770	1	0.5%
3750	1	0.5%
3740	1	0.5%
3715	1	0.5%
3685	1	0.5%
3515	1	0.5%
3505	1	0.5%

engine-type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

ohc	145
ohcf	15
ohcv	13
l	12
dohc	12

Length

Max length	5
Median length	3
Mean length	3.119402985
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	dohc
2nd row	dohc
3rd row	ohcv
4th row	ohc
5th row	ohc

Common Values

Value	Count	Frequency (%)
ohc	145	72.1%
ohcf	15	7.5%
ohcv	13	6.5%
l	12	6.0%
dohc	12	6.0%
rotor	4	2.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ohc	145	72.1%
ohcf	15	7.5%
ohcv	13	6.5%
l	12	6.0%
dohc	12	6.0%
rotor	4	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num-of-cylinders
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

four	157
six	24
five	10
two	4
eight	4
Other values (2)	2

Length

Max length	6
Median length	4
Mean length	3.895522388
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.0%

Sample

1st row	four
2nd row	four
3rd row	six
4th row	four
5th row	five

Common Values

Value	Count	Frequency (%)
four	157	78.1%
six	24	11.9%
five	10	5.0%
two	4	2.0%
eight	4	2.0%
twelve	1	0.5%
three	1	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
four	157	78.1%
six	24	11.9%
five	10	5.0%
two	4	2.0%
eight	4	2.0%
twelve	1	0.5%
three	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

engine-size
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	43
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.8756219

Minimum	61
Maximum	326
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	61
5-th percentile	90
Q1	98
median	120
Q3	141
95-th percentile	194
Maximum	326
Range	265
Interquartile range (IQR)	43

Descriptive statistics

Standard deviation	41.54683445
Coefficient of variation (CV)	0.3274611295
Kurtosis	5.497490767
Mean	126.8756219
Median Absolute Deviation (MAD)	22
Skewness	1.979144197
Sum	25502
Variance	1726.139453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
122	15	7.5%
92	15	7.5%
97	14	7.0%
98	14	7.0%
108	13	6.5%
110	12	6.0%
90	10	5.0%
109	8	4.0%
141	7	3.5%
120	7	3.5%
Other values (33)	86	42.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
61	1	0.5%
70	3	1.5%
79	1	0.5%
80	1	0.5%
90	10	5.0%
91	5	2.5%
92	15	7.5%
97	14	7.0%
98	14	7.0%
103	1	0.5%

Value	Count	Frequency (%)
326	1	0.5%
308	1	0.5%
304	1	0.5%
258	2	1.0%
234	2	1.0%
209	3	1.5%
194	3	1.5%
183	4	2.0%
181	6	3.0%
173	1	0.5%

fuel-system
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

mpfi	92
2bbl	64
idi	20
1bbl	11
spdi	9
Other values (3)	5

Length

Max length	4
Median length	4
Mean length	3.895522388
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.0%

Sample

1st row	mpfi
2nd row	mpfi
3rd row	mpfi
4th row	mpfi
5th row	mpfi

Common Values

Value	Count	Frequency (%)
mpfi	92	45.8%
2bbl	64	31.8%
idi	20	10.0%
1bbl	11	5.5%
spdi	9	4.5%
4bbl	3	1.5%
spfi	1	0.5%
mfi	1	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
mpfi	92	45.8%
2bbl	64	31.8%
idi	20	10.0%
1bbl	11	5.5%
spdi	9	4.5%
4bbl	3	1.5%
spfi	1	0.5%
mfi	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

bore
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	19.3%
Missing	4
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.33071066

Minimum	2.54
Maximum	3.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	2.54
5-th percentile	2.96
Q1	3.15
median	3.31
Q3	3.59
95-th percentile	3.78
Maximum	3.94
Range	1.4
Interquartile range (IQR)	0.44

Descriptive statistics

Standard deviation	0.2707934346
Coefficient of variation (CV)	0.08130199896
Kurtosis	-0.8427208688
Mean	3.33071066
Median Absolute Deviation (MAD)	0.26
Skewness	-0.03262168703
Sum	656.15
Variance	0.07332908422
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
3.62	23	11.4%
3.19	20	10.0%
3.15	15	7.5%
2.97	12	6.0%
3.03	10	5.0%
3.46	9	4.5%
3.78	8	4.0%
3.31	8	4.0%
3.43	8	4.0%
2.91	7	3.5%
Other values (28)	77	38.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.54	1	0.5%
2.68	1	0.5%
2.91	7	3.5%
2.92	1	0.5%
2.97	12	6.0%
2.99	1	0.5%
3.01	5	2.5%
3.03	10	5.0%
3.05	6	3.0%
3.08	1	0.5%

Value	Count	Frequency (%)
3.94	1	0.5%
3.8	2	1.0%
3.78	8	4.0%
3.76	1	0.5%
3.74	3	1.5%
3.7	5	2.5%
3.63	2	1.0%
3.62	23	11.4%
3.61	1	0.5%
3.6	1	0.5%

stroke
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	18.3%
Missing	4
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.256903553

Minimum	2.07
Maximum	4.17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	2.07
5-th percentile	2.64
Q1	3.11
median	3.29
Q3	3.41
95-th percentile	3.64
Maximum	4.17
Range	2.1
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.31925624
Coefficient of variation (CV)	0.09802446857
Kurtosis	2.028784197
Mean	3.256903553
Median Absolute Deviation (MAD)	0.17
Skewness	-0.6937783864
Sum	641.61
Variance	0.1019245468
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
3.4	19	9.5%
3.15	14	7.0%
3.03	14	7.0%
3.23	14	7.0%
3.39	13	6.5%
2.64	11	5.5%
3.35	9	4.5%
3.29	9	4.5%
3.46	8	4.0%
3.5	6	3.0%
Other values (26)	80	39.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.07	1	0.5%
2.19	2	1.0%
2.36	1	0.5%
2.64	11	5.5%
2.68	2	1.0%
2.76	1	0.5%
2.8	2	1.0%
2.87	1	0.5%
2.9	3	1.5%
3.03	14	7.0%

Value	Count	Frequency (%)
4.17	2	1.0%
3.9	3	1.5%
3.86	4	2.0%
3.64	5	2.5%
3.58	6	3.0%
3.54	4	2.0%
3.52	5	2.5%
3.5	6	3.0%
3.47	4	2.0%
3.46	8	4.0%

compression-ratio
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.16427861

Minimum	7
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	7
5-th percentile	7.5
Q1	8.6
median	9
Q3	9.4
95-th percentile	21.9
Maximum	23
Range	16
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	4.004965493
Coefficient of variation (CV)	0.3940235848
Kurtosis	5.068872476
Mean	10.16427861
Median Absolute Deviation (MAD)	0.4
Skewness	2.584462433
Sum	2043.02
Variance	16.0397486
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
9	46	22.9%
9.4	26	12.9%
8.5	14	7.0%
9.5	13	6.5%
9.3	11	5.5%
8.7	9	4.5%
8	8	4.0%
9.2	8	4.0%
7	6	3.0%
23	5	2.5%
Other values (22)	55	27.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	6	3.0%
7.5	5	2.5%
7.6	4	2.0%
7.7	2	1.0%
7.8	1	0.5%
8	8	4.0%
8.1	2	1.0%
8.3	3	1.5%
8.4	5	2.5%
8.5	14	7.0%

Value	Count	Frequency (%)
23	5	2.5%
22.7	1	0.5%
22.5	3	1.5%
22	1	0.5%
21.9	1	0.5%
21.5	4	2.0%
21	5	2.5%
11.5	1	0.5%
10.1	1	0.5%
10	2	1.0%

horsepower
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	58
Distinct (%)	29.1%
Missing	2
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	103.3969849

Minimum	48
Maximum	262
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	48
5-th percentile	62
Q1	70
median	95
Q3	116
95-th percentile	176.6
Maximum	262
Range	214
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	37.55384271
Coefficient of variation (CV)	0.3632005588
Kurtosis	1.27867076
Mean	103.3969849
Median Absolute Deviation (MAD)	25
Skewness	1.141584284
Sum	20576
Variance	1410.291102
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	19	9.5%
69	10	5.0%
70	9	4.5%
116	9	4.5%
110	8	4.0%
95	7	3.5%
88	6	3.0%
101	6	3.0%
62	6	3.0%
114	6	3.0%
Other values (48)	113	56.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
48	1	0.5%
52	2	1.0%
55	1	0.5%
56	2	1.0%
58	1	0.5%
60	1	0.5%
62	6	3.0%
64	1	0.5%
68	19	9.5%
69	10	5.0%

Value	Count	Frequency (%)
262	1	0.5%
207	3	1.5%
200	1	0.5%
184	2	1.0%
182	3	1.5%
176	2	1.0%
175	1	0.5%
162	2	1.0%
161	2	1.0%
160	5	2.5%

peak-rpm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	22
Distinct (%)	11.1%
Missing	2
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	5117.58794

Minimum	4150
Maximum	6600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	4150
5-th percentile	4245
Q1	4800
median	5200
Q3	5500
95-th percentile	6000
Maximum	6600
Range	2450
Interquartile range (IQR)	700

Descriptive statistics

Standard deviation	480.5218239
Coefficient of variation (CV)	0.09389615374
Kurtosis	0.07658783227
Mean	5117.58794
Median Absolute Deviation (MAD)	300
Skewness	0.1077292866
Sum	1018400
Variance	230901.2233
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
5500	36	17.9%
4800	36	17.9%
5000	27	13.4%
5200	23	11.4%
5400	11	5.5%
6000	9	4.5%
5250	7	3.5%
4500	7	3.5%
5800	7	3.5%
4150	5	2.5%
Other values (12)	31	15.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4150	5	2.5%
4200	5	2.5%
4250	3	1.5%
4350	4	2.0%
4400	3	1.5%
4500	7	3.5%
4650	1	0.5%
4750	4	2.0%
4800	36	17.9%
4900	1	0.5%

Value	Count	Frequency (%)
6600	2	1.0%
6000	9	4.5%
5900	3	1.5%
5800	7	3.5%
5600	1	0.5%
5500	36	17.9%
5400	11	5.5%
5300	1	0.5%
5250	7	3.5%
5200	23	11.4%

city-mpg
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	14.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.17910448

Minimum	13
Maximum	49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	13
5-th percentile	16
Q1	19
median	24
Q3	30
95-th percentile	37
Maximum	49
Range	36
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	6.423220469
Coefficient of variation (CV)	0.2551012279
Kurtosis	0.7539680878
Mean	25.17910448
Median Absolute Deviation (MAD)	5
Skewness	0.6804334707
Sum	5061
Variance	41.25776119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
31	28	13.9%
19	27	13.4%
24	22	10.9%
27	14	7.0%
17	12	6.0%
23	12	6.0%
26	12	6.0%
21	8	4.0%
25	8	4.0%
30	8	4.0%
Other values (19)	50	24.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	1	0.5%
14	2	1.0%
15	3	1.5%
16	5	2.5%
17	12	6.0%
18	3	1.5%
19	27	13.4%
20	3	1.5%
21	8	4.0%
22	4	2.0%

Value	Count	Frequency (%)
49	1	0.5%
47	1	0.5%
45	1	0.5%
38	5	2.5%
37	6	3.0%
36	1	0.5%
35	1	0.5%
34	1	0.5%
33	1	0.5%
32	1	0.5%

highway-mpg
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	30
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.68656716

Minimum	16
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	16
5-th percentile	22
Q1	25
median	30
Q3	34
95-th percentile	42
Maximum	54
Range	38
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.815149936
Coefficient of variation (CV)	0.22208903
Kurtosis	0.5611711398
Mean	30.68656716
Median Absolute Deviation (MAD)	5
Skewness	0.5495071459
Sum	6168
Variance	46.44626866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
25	19	9.5%
38	17	8.5%
24	17	8.5%
30	16	8.0%
32	16	8.0%
34	14	7.0%
37	13	6.5%
28	12	6.0%
29	10	5.0%
33	9	4.5%
Other values (20)	58	28.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	2	1.0%
17	1	0.5%
18	2	1.0%
19	2	1.0%
20	2	1.0%
22	7	3.5%
23	7	3.5%
24	17	8.5%
25	19	9.5%
26	3	1.5%

Value	Count	Frequency (%)
54	1	0.5%
53	1	0.5%
50	1	0.5%
47	2	1.0%
46	2	1.0%
43	2	1.0%
42	3	1.5%
41	3	1.5%
39	2	1.0%
38	17	8.5%

price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	186
Distinct (%)	92.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13207.12935

Minimum	5118
Maximum	45400
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	5118
5-th percentile	6189
Q1	7775
median	10295
Q3	16500
95-th percentile	32528
Maximum	45400
Range	40282
Interquartile range (IQR)	8725

Descriptive statistics

Standard deviation	7947.066342
Coefficient of variation (CV)	0.601725487
Kurtosis	3.231536887
Mean	13207.12935
Median Absolute Deviation (MAD)	3306
Skewness	1.809675339
Sum	2654633
Variance	63155863.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13499	2	1.0%
16500	2	1.0%
9279	2	1.0%
7609	2	1.0%
6229	2	1.0%
8495	2	1.0%
18150	2	1.0%
8921	2	1.0%
7898	2	1.0%
6692	2	1.0%
Other values (176)	181	90.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5118	1	0.5%
5151	1	0.5%
5195	1	0.5%
5348	1	0.5%
5389	1	0.5%
5399	1	0.5%
5499	1	0.5%
5572	2	1.0%
6095	1	0.5%
6189	1	0.5%

Value	Count	Frequency (%)
45400	1	0.5%
41315	1	0.5%
40960	1	0.5%
37028	1	0.5%
36880	1	0.5%
36000	1	0.5%
35550	1	0.5%
35056	1	0.5%
34184	1	0.5%
34028	1	0.5%

city-L/100km
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	14.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.944145484

Minimum	4.795918367
Maximum	18.07692308
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	4.795918367
5-th percentile	6.351351351
Q1	7.833333333
median	9.791666667
Q3	12.36842105
95-th percentile	14.6875
Maximum	18.07692308
Range	13.28100471
Interquartile range (IQR)	4.535087719

Descriptive statistics

Standard deviation	2.534599261
Coefficient of variation (CV)	0.254883566
Kurtosis	-0.06511888838
Mean	9.944145484
Median Absolute Deviation (MAD)	1.958333333
Skewness	0.5923833561
Sum	1998.773242
Variance	6.424193415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
7.580645161	28	13.9%
12.36842105	27	13.4%
9.791666667	22	10.9%
8.703703704	14	7.0%
9.038461538	12	6.0%
10.2173913	12	6.0%
13.82352941	12	6.0%
11.19047619	8	4.0%
7.833333333	8	4.0%
9.4	8	4.0%
Other values (19)	50	24.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.795918367	1	0.5%
5	1	0.5%
5.222222222	1	0.5%
6.184210526	5	2.5%
6.351351351	6	3.0%
6.527777778	1	0.5%
6.714285714	1	0.5%
6.911764706	1	0.5%
7.121212121	1	0.5%
7.34375	1	0.5%

Value	Count	Frequency (%)
18.07692308	1	0.5%
16.78571429	2	1.0%
15.66666667	3	1.5%
14.6875	5	2.5%
13.82352941	12	6.0%
13.05555556	3	1.5%
12.36842105	27	13.4%
11.75	3	1.5%
11.19047619	8	4.0%
10.68181818	4	2.0%

highway-L/100km
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	30
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.044956825

Minimum	4.351851852
Maximum	14.6875
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	4.351851852
5-th percentile	5.595238095
Q1	6.911764706
median	7.833333333
Q3	9.4
95-th percentile	10.68181818
Maximum	14.6875
Range	10.33564815
Interquartile range (IQR)	2.488235294

Descriptive statistics

Standard deviation	1.840738522
Coefficient of variation (CV)	0.2288065135
Kurtosis	1.235190109
Mean	8.044956825
Median Absolute Deviation (MAD)	1.481981982
Skewness	0.8496621786
Sum	1617.036322
Variance	3.388318308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
9.4	19	9.5%
9.791666667	17	8.5%
6.184210526	17	8.5%
7.34375	16	8.0%
7.833333333	16	8.0%
6.911764706	14	7.0%
6.351351351	13	6.5%
8.392857143	12	6.0%
8.103448276	10	5.0%
7.121212121	9	4.5%
Other values (20)	58	28.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.351851852	1	0.5%
4.433962264	1	0.5%
4.7	1	0.5%
5	2	1.0%
5.108695652	2	1.0%
5.465116279	2	1.0%
5.595238095	3	1.5%
5.731707317	3	1.5%
6.025641026	2	1.0%
6.184210526	17	8.5%

Value	Count	Frequency (%)
14.6875	2	1.0%
13.82352941	1	0.5%
13.05555556	2	1.0%
12.36842105	2	1.0%
11.75	2	1.0%
10.68181818	7	3.5%
10.2173913	7	3.5%
9.791666667	17	8.5%
9.4	19	9.5%
9.038461538	3	1.5%

price_binned
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Low	171
Median	18
High	12

Length

Max length	6
Median length	3
Mean length	3.328358209
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Low
3rd row	Low
4th row	Low
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	171	85.1%
Median	18	9.0%
High	12	6.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
low	171	85.1%
median	18	9.0%
high	12	6.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diesel
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

0	181
1	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	181	90.0%
1	20	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	181	90.0%
1	20	10.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

gas
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

1	181
0	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	181	90.0%
0	20	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	181	90.0%
0	20	10.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

normalized_length
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	73
Distinct (%)	36.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1.628106163 × 10^-14

Minimum	-2.686294812
Maximum	2.751056913
Zeros	0
Zeros (%)	0.0%
Negative	110
Negative (%)	54.7%
Memory size	1.7 KiB

Quantile statistics

Minimum	-2.686294812
5-th percentile	-1.371591858
Q1	-0.6006240757
median	-0.08123525412
Q3	0.7546561306
95-th percentile	1.850241926
Maximum	2.751056913
Range	5.437351726
Interquartile range (IQR)	1.355280206

Descriptive statistics

Standard deviation	1
Coefficient of variation (CV)	-6.142105612 × 10¹³
Kurtosis	-0.06519162777
Mean	-1.628106163 × 10^-14
Median Absolute Deviation (MAD)	0.5599660732
Skewness	0.1544463518
Sum	-3.27116112 × 10^-12
Variance	1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1.371591858	15	7.5%
1.184774998	11	5.5%
1.014350541	7	3.5%
-0.6412013273	7	3.5%
-0.2029670092	7	3.5%
0.2920754614	6	3.0%
-0.7223558307	6	3.0%
1.006235091	6	3.0%
0.162228256	6	3.0%
0.113535554	5	2.5%
Other values (63)	125	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2.686294812	1	0.5%
-2.40225405	2	1.0%
-1.964019732	3	1.5%
-1.485208162	1	0.5%
-1.404053659	1	0.5%
-1.387822758	1	0.5%
-1.371591858	15	7.5%
-1.322899156	1	0.5%
-1.257975553	3	1.5%
-1.249860103	1	0.5%

Value	Count	Frequency (%)
2.751056913	1	0.5%
2.304707145	2	1.0%
2.061243635	2	1.0%
2.028781833	1	0.5%
2.004435482	4	2.0%
1.850241926	1	0.5%
1.590547515	1	0.5%
1.501277562	3	1.5%
1.420123058	1	0.5%
1.355199455	2	1.0%

normalized_width
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	43
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.443621342 × 10^-14

Minimum	-2.65959188
Maximum	2.90793725
Zeros	0
Zeros (%)	0.0%
Negative	116
Negative (%)	57.7%
Memory size	1.7 KiB

Quantile statistics

Minimum	-2.65959188
5-th percentile	-1.089263151
Q1	-0.851334556
median	-0.1851344891
Q3	0.3383084206
95-th percentile	2.098980026
Maximum	2.90793725
Range	5.56752913
Interquartile range (IQR)	1.189642977

Descriptive statistics

Standard deviation	1
Coefficient of variation (CV)	6.92702422 × 10¹³
Kurtosis	0.6786551692
Mean	1.443621342 × 10^-14
Median Absolute Deviation (MAD)	0.6662000669
Skewness	0.8750290419
Sum	2.899014362 × 10^-12
Variance	1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
-0.9940917132	24	11.9%
0.2907227015	23	11.4%
-0.2327202082	15	7.5%
-0.7085773988	10	5.0%
1.194851364	10	5.0%
-0.898920275	9	4.5%
-1.089263151	9	4.5%
-0.1851344891	8	4.0%
-0.3278916463	7	3.5%
0.623822735	6	3.0%
Other values (33)	80	39.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2.65959188	1	0.5%
-1.945806094	1	0.5%
-1.612706061	1	0.5%
-1.184434589	1	0.5%
-1.089263151	9	4.5%
-0.9940917132	24	11.9%
-0.9465059941	3	1.5%
-0.898920275	9	4.5%
-0.851334556	2	1.0%
-0.8037488369	6	3.0%

Value	Count	Frequency (%)
2.90793725	1	0.5%
2.765180093	3	1.5%
2.622422936	3	1.5%
2.38449434	1	0.5%
2.241737183	1	0.5%
2.194151464	1	0.5%
2.098980026	3	1.5%
1.765879993	2	1.0%
1.432779959	4	2.0%
1.38519424	1	0.5%

normalized_height
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	24.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1.980560547 × 10^-14

Minimum	-2.437540913
Maximum	2.464776007
Zeros	0
Zeros (%)	0.0%
Negative	94
Negative (%)	46.8%
Memory size	1.7 KiB

Quantile statistics

Minimum	-2.437540913
5-th percentile	-1.661340734
Q1	-0.7217299911
median	0.13617547
Q3	0.7081124441
95-th percentile	1.525165264
Maximum	2.464776007
Range	4.902316921
Interquartile range (IQR)	1.429842435

Descriptive statistics

Standard deviation	1
Coefficient of variation (CV)	-5.049075634 × 10¹³
Kurtosis	-0.4329081504
Mean	-1.980560547 × 10^-14
Median Absolute Deviation (MAD)	0.6536422561
Skewness	0.02917329915
Sum	-3.979150343 × 10^-12
Variance	1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
-1.211961683	14	7.0%
0.7898177261	12	6.0%
0.13617547	10	5.0%
0.299586034	10	5.0%
0.7081124441	9	4.5%
-0.7217299911	9	4.5%
0.217880752	8	4.0%
1.198344136	8	4.0%
-0.8851405551	7	3.5%
0.9532282901	7	3.5%
Other values (39)	107	53.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2.437540913	1	0.5%
-2.029014503	2	1.0%
-1.783898657	2	1.0%
-1.702193375	4	2.0%
-1.661340734	3	1.5%
-1.457077529	6	3.0%
-1.334519606	1	0.5%
-1.293666965	5	2.5%
-1.211961683	14	7.0%
-1.130256401	1	0.5%

Value	Count	Frequency (%)
2.464776007	2	1.0%
2.17880752	3	1.5%
2.015396956	4	2.0%
1.851986392	1	0.5%
1.525165264	3	1.5%
1.198344136	8	4.0%
1.116638854	2	1.0%
1.034933572	2	1.0%
0.9940809311	3	1.5%
0.9532282901	7	3.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	symboling	normalized-losses	make	aspiration	num-of-doors	body-style	drive-wheels	engine-location	wheel-base	length	width	height	curb-weight	engine-type	num-of-cylinders	engine-size	fuel-system	bore	stroke	compression-ratio	horsepower	peak-rpm	city-mpg	highway-mpg	price	city-L/100km	highway-L/100km	price_binned	gas	normalized_length	normalized_width	normalized_height
0	3	NaN	alfa-romero	std	two	convertible	rwd	front	88.6	168.8	64.1	48.8	2548	dohc	four	130	mpfi	3.47	2.68	9.0	111.0	5000.0	21	27	13495	11.190476	8.703704	Low	1	-0.438315	-0.851335	-2.029015
1	3	NaN	alfa-romero	std	two	convertible	rwd	front	88.6	168.8	64.1	48.8	2548	dohc	four	130	mpfi	3.47	2.68	9.0	111.0	5000.0	21	27	16500	11.190476	8.703704	Low	1	-0.438315	-0.851335	-2.029015
2	1	NaN	alfa-romero	std	two	hatchback	rwd	front	94.5	171.2	65.5	52.4	2823	ohcv	six	152	mpfi	2.68	3.47	9.0	154.0	5000.0	19	26	16500	12.368421	9.038462	Low	1	-0.243544	-0.185134	-0.558319
3	2	164.0	audi	std	four	sedan	fwd	front	99.8	176.6	66.2	54.3	2337	ohc	four	109	mpfi	3.19	3.40	10.0	102.0	5500.0	24	30	13950	9.791667	7.833333	Low	1	0.194690	0.147966	0.217881
4	2	164.0	audi	std	four	sedan	4wd	front	99.4	176.6	66.4	54.3	2824	ohc	five	136	mpfi	3.19	3.40	8.0	115.0	5500.0	18	22	17450	13.055556	10.681818	Low	1	0.194690	0.243137	0.217881
5	2	NaN	audi	std	two	sedan	fwd	front	99.8	177.3	66.3	53.1	2507	ohc	five	136	mpfi	3.19	3.40	8.5	110.0	5500.0	19	25	15250	12.368421	9.400000	Low	1	0.251498	0.195551	-0.272351
6	1	158.0	audi	std	four	sedan	fwd	front	105.8	192.7	71.4	55.7	2844	ohc	five	136	mpfi	3.19	3.40	8.5	110.0	5500.0	19	25	17710	12.368421	9.400000	Low	1	1.501278	2.622423	0.789818
7	1	NaN	audi	std	four	wagon	fwd	front	105.8	192.7	71.4	55.7	2954	ohc	five	136	mpfi	3.19	3.40	8.5	110.0	5500.0	19	25	18920	12.368421	9.400000	Median	1	1.501278	2.622423	0.789818
8	1	158.0	audi	turbo	four	sedan	fwd	front	105.8	192.7	71.4	55.9	3086	ohc	five	131	mpfi	3.13	3.40	8.3	140.0	5500.0	17	20	23875	13.823529	11.750000	Median	1	1.501278	2.622423	0.871523
9	2	192.0	bmw	std	two	sedan	rwd	front	101.2	176.8	64.8	54.3	2395	ohc	four	108	mpfi	3.50	2.80	8.8	101.0	5800.0	23	29	16430	10.217391	8.103448	Low	1	0.210921	-0.518235	0.217881

Last rows

	symboling	normalized-losses	make	aspiration	num-of-doors	body-style	drive-wheels	engine-location	wheel-base	length	width	height	curb-weight	engine-type	num-of-cylinders	engine-size	fuel-system	bore	stroke	compression-ratio	horsepower	peak-rpm	city-mpg	highway-mpg	price	city-L/100km	highway-L/100km	price_binned	diesel	gas	normalized_length	normalized_width	normalized_height
191	-1	74.0	volvo	std	four	wagon	rwd	front	104.3	188.8	67.2	57.5	3034	ohc	four	141	mpfi	3.78	3.15	9.5	114.0	5400.0	23	28	13415	10.217391	8.392857	Low	0	1	1.184775	0.623823	1.525165
192	-2	103.0	volvo	std	four	sedan	rwd	front	104.3	188.8	67.2	56.2	2935	ohc	four	141	mpfi	3.78	3.15	9.5	114.0	5400.0	24	28	15985	9.791667	8.392857	Low	0	1	1.184775	0.623823	0.994081
193	-1	74.0	volvo	std	four	wagon	rwd	front	104.3	188.8	67.2	57.5	3042	ohc	four	141	mpfi	3.78	3.15	9.5	114.0	5400.0	24	28	16515	9.791667	8.392857	Low	0	1	1.184775	0.623823	1.525165
194	-2	103.0	volvo	turbo	four	sedan	rwd	front	104.3	188.8	67.2	56.2	3045	ohc	four	130	mpfi	3.62	3.15	7.5	162.0	5100.0	17	22	18420	13.823529	10.681818	Low	0	1	1.184775	0.623823	0.994081
195	-1	74.0	volvo	turbo	four	wagon	rwd	front	104.3	188.8	67.2	57.5	3157	ohc	four	130	mpfi	3.62	3.15	7.5	162.0	5100.0	17	22	18950	13.823529	10.681818	Median	0	1	1.184775	0.623823	1.525165
196	-1	95.0	volvo	std	four	sedan	rwd	front	109.1	188.8	68.9	55.5	2952	ohc	four	141	mpfi	3.78	3.15	9.5	114.0	5400.0	23	28	16845	10.217391	8.392857	Low	0	1	1.184775	1.432780	0.708112
197	-1	95.0	volvo	turbo	four	sedan	rwd	front	109.1	188.8	68.8	55.5	3049	ohc	four	141	mpfi	3.78	3.15	8.7	160.0	5300.0	19	25	19045	12.368421	9.400000	Median	0	1	1.184775	1.385194	0.708112
198	-1	95.0	volvo	std	four	sedan	rwd	front	109.1	188.8	68.9	55.5	3012	ohcv	six	173	mpfi	3.58	2.87	8.8	134.0	5500.0	18	23	21485	13.055556	10.217391	Median	0	1	1.184775	1.432780	0.708112
199	-1	95.0	volvo	turbo	four	sedan	rwd	front	109.1	188.8	68.9	55.5	3217	ohc	six	145	idi	3.01	3.40	23.0	106.0	4800.0	26	27	22470	9.038462	8.703704	Median	1	0	1.184775	1.432780	0.708112
200	-1	95.0	volvo	turbo	four	sedan	rwd	front	109.1	188.8	68.9	55.5	3062	ohc	four	141	mpfi	3.78	3.15	9.5	114.0	5400.0	19	25	22625	12.368421	9.400000	Median	0	1	1.184775	1.432780	0.708112

Overview

Variables

Common Values

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Most frequent character per block

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Pie chart

Most occurring characters

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Most occurring scripts

Most frequent character per script

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Most frequent character per block

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Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

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Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

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Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks